Upstash MCP Server for Pydantic AI 23 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Upstash through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Upstash "
"(23 tools)."
),
)
result = await agent.run(
"What tools are available in Upstash?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Upstash MCP Server
Connect your Upstash Redis database to any AI agent and interact with your serverless data store through natural conversation — no Redis CLI needed.
Pydantic AI validates every Upstash tool response against typed schemas, catching data inconsistencies at build time. Connect 23 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Health Checks — Ping your database to verify connectivity and inspect server health
- String Operations — Get, set and delete key-value pairs with optional TTL management
- Hash Management — Store and retrieve structured data as field-value pairs within hash keys
- List Operations — Push, pop and range elements from Redis lists for queue and stack patterns
- Set Operations — Add, remove and query set membership for unique collections
- Key Discovery — List keys by pattern, check existence, inspect data types and view TTL values
- Numeric Operations — Increment and decrement counters atomically
- Pub/Sub Messaging — Publish messages to channels for event-driven architectures
- Pipeline Execution — Execute multiple commands in a single HTTP request for batch operations
The Upstash MCP Server exposes 23 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Upstash to Pydantic AI via MCP
Follow these steps to integrate the Upstash MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 23 tools from Upstash with type-safe schemas
Why Use Pydantic AI with the Upstash MCP Server
Pydantic AI provides unique advantages when paired with Upstash through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Upstash integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Upstash connection logic from agent behavior for testable, maintainable code
Upstash + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Upstash MCP Server delivers measurable value.
Type-safe data pipelines: query Upstash with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Upstash tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Upstash and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Upstash responses and write comprehensive agent tests
Upstash MCP Tools for Pydantic AI (23)
These 23 tools become available when you connect Upstash to Pydantic AI via MCP:
decr
If the key does not exist, it is initialized to 0 before the operation. Returns the new value after decrementing. Decrement a numeric value in Upstash Redis
del
Returns 1 if the key was deleted, 0 if it did not exist. WARNING: this operation is irreversible. Delete a key from Upstash Redis
exists
This is a lightweight way to check key presence without retrieving the value. Check if a key exists in Upstash Redis
expire
The key will be automatically deleted when the TTL reaches zero. Returns 1 if the timeout was set, 0 if the key does not exist. Set a TTL on a key in Upstash Redis
get
Returns null if the key does not exist. This is the primary read operation for string data. Get a value from Upstash Redis
hget
Returns null if the key or field does not exist. Get a field value from a Redis hash
hgetall
Returns an object with all fields and their values. Returns an empty object if the key does not exist. Get all fields and values from a Redis hash
hset
If the key does not exist, a new hash is created. If the field already exists, its value is overwritten. Returns the number of fields added (1 for new, 0 for updated). Set a field in a Redis hash
incr
If the key does not exist, it is initialized to 0 before the operation. Returns the new value after incrementing. Increment a numeric value in Upstash Redis
key_type
Get the data type of a key in Upstash Redis
list_keys
Use "*" for all keys, "prefix:*" for keys with a prefix, or "*:suffix" for suffix matching. WARNING: KEYS can be slow on large databases — use sparingly. List keys in Upstash Redis
llen
Returns 0 if the key does not exist. Get the length of a Redis list
lpush
If the key does not exist, a new list is created. Returns the length of the list after the push. Push values to the left of a Redis list
lrange
Use 0 as start and -1 as stop to get all elements. Positive indices count from the head (0 = first), negative indices count from the tail (-1 = last). Get a range of elements from a Redis list
pipeline
Commands are sent as a JSON array of arrays, e.g. [["SET","k1","v1"],["GET","k1"],["INCR","counter"]]. Returns an array of results in the same order. Note: the pipeline is NOT atomic (other commands may interleave) — use /multi-exec for atomicity. WARNING: this is a powerful tool — review commands carefully before execution. Execute multiple commands atomically via Upstash pipeline
publish
Returns the number of subscribers that received the message. This is a fire-and-forget operation — subscribers must be actively listening. Publish a message to a Redis channel
rpush
If the key does not exist, a new list is created. Returns the length of the list after the push. Push values to the right of a Redis list
sadd
Duplicate members are ignored. If the key does not exist, a new set is created. Returns the number of members that were added. Add members to a Redis set
set
Optionally set an expiry time in seconds using the ex parameter. Overwrites any existing value at the key. Returns "OK" on success. This is the primary write operation for string data. Set a value in Upstash Redis
sismember
This is a fast O(1) membership check. Check if a member is in a Redis set
smembers
Returns an array of all unique members. Returns an empty array if the key does not exist. Get all members of a Redis set
srem
Non-existent members are ignored. Returns the number of members that were removed. Remove members from a Redis set
ttl
Returns -1 if the key has no expiry, -2 if the key does not exist. Get the TTL of a key in Upstash Redis
Example Prompts for Upstash in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Upstash immediately.
"Check if my Upstash Redis database is responding."
"Set a feature flag called 'dark_mode' to true for user 'user123' with a 1 hour expiry."
"Show me all keys matching the pattern 'session:*' and check their data types."
Troubleshooting Upstash MCP Server with Pydantic AI
Common issues when connecting Upstash to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUpstash + Pydantic AI FAQ
Common questions about integrating Upstash MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Upstash with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Upstash to Pydantic AI
Get your token, paste the configuration, and start using 23 tools in under 2 minutes. No API key management needed.